Finding abnormal data in vehicular cyber physical systems

Authors:
Wenjia Li;Lindah Kotut
Affiliations:
Georgia Southern University, Statesboro, Georgia;Georgia Southern University, Statesboro, Georgia
Venue:
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
Year:
2013

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Abstract

In this work, we study an abnormal traffic data detection scheme for vehicular CPS, in which outlier detection algorithm is used to identify abnormal data in vehicular CPS. Experimental results on actual vehicular CPS data show that the scheme can efficiently identify the abnormal traffic data in the vehicular CPS datasets.